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Fuzzy Immune Algorithm 模糊免疫算法
It attains better controlling quality then the fuzzy immune PID control algorithm based on genetic turning approach with easier realizing solution. 可以用更简单的实现方法获得比基于遗传整定的模糊免疫PID控制方法更好的控制质量。
Simulation results of three different control methods demonstrate that fuzzy immune PI and cross-coupling control method is feasible and valid. 对三种不同控制方法仿真得到的结果,验证交叉耦合控制和模糊免疫PI控制相结合方法的可行性与有效性。
A chaotic-search-based immune algorithm (CSIA) is proposed by integrating chaos optimization algorithm and clonal selection algorithm. 摘要将混沌优化算法与克隆选择算法相结合，提出了一类基于混沌搜索的免疫算法。
The results showed that the fuzzy immune PID controller performs well, and the real-time tracking of all 6-DOFs and the synergetic control ability were satisfying. 结果表明，所设计的模糊免疫控制器作用良好，平台在6个自由度的实时跟踪和协同控制性能均获得满意的结果。
A new method for calculating the cylindricity error based on immune algorithm is proposed in this paper. 本文提出了一种计算圆柱度误差的新方法。
A new kind of immune algorithm named bacterin algorithm based on immune mechanism was presented. 摘要根据免疫学原理提出了一种适合于故障诊断的算法-疫苗算法。
An immune algorithm based on parthenogenetic operators is proposed for solving the model. 构造出一种基于单亲遗传算子的免疫算法用于求解此模型。
NIGA based on immune algorithm employs genetic operators to improve antibodies,and niche technique to increase the population diversity. 以免疫算法为基础,通过遗传算法进化抗体群,利用小生境技术保持抗体群的多样性。
Based on this deduction, an adaptive immune algorithm is put forward and is to solve the pipeline leak positioning problem. 在此基础上，提出一种自适应免疫算法，并将该算法应用到输油管道泄漏定位问题上。
The product mix optimization based on TOC was solved by using Immune Algorithm (IA), and the TOC based IA was presented. 应用免疫算法求解约束理论产品组合优化问题，并提出了基于约束理论的免疫算法。
A immune algorithm neural network model for predicting oil gas is presented by means of combining immune algorithm with neural network theory. 将免疫算法与神经网络理论相结合,提出了免疫神经网络预报模型,以预报油库油气浓度。
On the basis of immune algorithm, the authors propose a new method of text categorization called clonal selection algorithm based on antibody density. 借鉴了免疫系统的分类本质以及免疫系统的克隆选择和抗体浓度控制原理,提出了基于抗体浓度的克隆选择算法。
The immune algorithm is a new bionic algorithm based on biological immune system and it can be used to optimize the compounding problems. 生物免疫算法是基于人体免疫系统基本原理的一种新型仿生学算法,将它应用于求解0-1背包问题,对解决现实世界中的组合优化问题有很好的借鉴作用。
An immune algorithm is developed for job-shop schedule problem based on the clonal selection principle of the natural immune system. 基于免疫系统的克隆选择机制，提出一种求解车间作业调度问题的免疫算法。
fuzzy immune nonlinear PID control 模糊免疫非线性PID控制
The immune algorithm is a intelligentized heuristic algorithm which imitates high-evolvement of the organism and complicated immune system. 摘要免疫算法是模仿生物体高度进化，复杂的免疫系统仿生的一种智能化启发式算法。
Performance testing functions show that IGA can increase the diversity of antibody and the speed of convergence, while maintains the advantages of immune algorithm. 并通过测试函数，证明了免疫遗传算法既保留了免疫算法的优点，又提高了免疫算法中抗体的多样性和收敛速度。
The research results show that the adaptive immune algorithm of the Pearl curve has superiority and effectiveness for intellectuality prediction of tunnel engineering. 研究结果显示，基于皮尔曲线的自适应免疫算法在隧道工程智能预测应用中的优越性和实用性。
This method both exerts fully the fast characteristic of wavelets neural network and makes good use of global and adaptive characteristic of immune algorithm. 该方法既充分发挥了小波神经网络的快速性,又充分利用了免疫算法的全局性、适应性等特点。